Voxel space automata: modeling with stochastic growth processes in voxel space
SIGGRAPH '89 Proceedings of the 16th annual conference on Computer graphics and interactive techniques
The algorithmic beauty of plants
The algorithmic beauty of plants
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Models of light reflection for computer synthesized pictures
SIGGRAPH '77 Proceedings of the 4th annual conference on Computer graphics and interactive techniques
Interactive Modeling of Plants
IEEE Computer Graphics and Applications
Digital Design of Nature: Computer Generated Plants and Organics
Digital Design of Nature: Computer Generated Plants and Organics
Volumetric reconstruction and interactive rendering of trees from photographs
ACM SIGGRAPH 2004 Papers
Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing
Modeling plant structures using concept sketches
Proceedings of the 4th international symposium on Non-photorealistic animation and rendering
ACM SIGGRAPH 2006 Papers
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Combined Depth and Outlier Estimation in Multi-View Stereo
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Hierarchical retargetting of 2D motion fields to the animation of 3D plant models
Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation
ACM SIGGRAPH 2007 papers
Approximate image-based tree-modeling using particle flows
ACM SIGGRAPH 2007 papers
Knowledge and heuristic-based modeling of laser-scanned trees
ACM Transactions on Graphics (TOG)
ACM SIGGRAPH Asia 2008 papers
Sketch-based tree modeling using Markov random field
ACM SIGGRAPH Asia 2008 papers
Self-organizing tree models for image synthesis
ACM SIGGRAPH 2009 papers
High-quality single-shot capture of facial geometry
ACM SIGGRAPH 2010 papers
Automatic reconstruction of tree skeletal structures from point clouds
ACM SIGGRAPH Asia 2010 papers
Metropolis procedural modeling
ACM Transactions on Graphics (TOG)
An efficient RANSAC for 3D object recognition in noisy and occluded scenes
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Texture-lobes for tree modelling
ACM SIGGRAPH 2011 papers
Modeling and generating moving trees from video
Proceedings of the 2011 SIGGRAPH Asia Conference
Plastic trees: interactive self-adapting botanical tree models
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Capturing and animating the morphogenesis of polygonal tree models
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Physically based real-time translucency for leaves
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
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Flora is an element in many computer-generated scenes. But trees, bushes and plants have complex geometry and appearance, and are difficult to model manually. One way to address this is to capture models directly from the real world. Existing techniques have focused on extracting macro structure such as the branching structure of trees, or the structure of broad-leaved plants with a relatively small number of surfaces. This paper presents a finer scale technique to demonstrate for the first time the processing of densely leaved foliage - computation of 3D structure, plus extraction of statistics for leaf shape and the configuration of neighboring leaves. Our method starts with a mesh of a single exemplar leaf of the target foliage. Using a small number of images, point cloud data is obtained from multi-view stereo, and the exemplar leaf mesh is fitted non-rigidly to the point cloud over several iterations. In addition, our method learns a statistical model of leaf shape and appearance during the reconstruction phase, and a model of the transformations between neighboring leaves. This information is useful in two ways - to augment and increase leaf density in reconstructions of captured foliage, and to synthesize new foliage that conforms to a user-specified layout and density. The result of our technique is a dense set of captured leaves with realistic appearance, and a method for leaf synthesis. Our approach excels at reconstructing plants and bushes that are primarily defined by dense leaves and is demonstrated with multiple examples.